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📈 Unlock predictive power with the pro’s playbook — don’t get left behind!
Applied Predictive Modeling is a critically acclaimed, prize-winning textbook that expertly blends practical data science with foundational theory. Featuring over 20 real-world datasets and extensive R code, it guides advanced undergraduates, graduate students, and professionals through the entire predictive modeling pipeline—from preprocessing to model tuning—using modern regression and classification techniques. Ideal for those with basic R knowledge, this book is a must-have reference for mastering applied predictive analytics across diverse industries.
| Best Sellers Rank | #1,015,576 in Books ( See Top 100 in Books ) #101 in Biostatistics (Books) #155 in Mathematical & Statistical Software |
| Customer Reviews | 4.6 4.6 out of 5 stars (326) |
| Dimensions | 6.4 x 1.5 x 9.3 inches |
| Edition | 2013th |
| ISBN-10 | 1461468485 |
| ISBN-13 | 978-1461468486 |
| Item Weight | 2.2 pounds |
| Language | English |
| Print length | 613 pages |
| Publication date | May 17, 2013 |
| Publisher | Springer |
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